Search Results for "network latency"

...Lettuce is a fully non-blocking Redis client built with netty providing Reactive, Asynchronous and Synchronous Data Access. Lettuce provides asynchronous API with RedisFuture (CompletionStage) and Reactive types Flux [N] and Mono [0|1]. Low-latency communication, backpressure-enabled network engine for NIO TCP, epoll TCP and Unix Domain Sockets. Reactive Streaming is fully supported. Lettuce comes with an API that gets you started quickly. Its simple yet powerful programming model allows you for trivial use-cases as well as for chained asynchronous flows. Redis Standalone, Master/Slave, Redis Sentinel and Redis Cluster. ...

Application protocol providing Reactive Streams semantics. RSocket provides a protocol for Reactive Streams semantics between client-server, and server-server communication. RSocket is a binary protocol for use on byte stream transports such as TCP, WebSockets, and Aeron. RSocket is intended to be consumed via one of the various implementation libraries which implement the RSocket Protocol. By default to make RSocket easier to use it copies the incoming Payload. Copying the payload comes at...

SOFAJRaft is a production-level, high-performance Java implementation based on the RAFT consistency algorithm that supports MULTI-RAFT-GROUP for high-load, low-latency scenarios. With SOFAJRaft you can focus on your business area. SOFAJRaft handles all RAFT-related technical challenges. SOFAJRaft is very user-friendly, which provides several examples, making it easy to understand and use.

Volley is an Android networking library that streamlines making asynchronous HTTP requests, caching responses, and managing image loading with minimal code. It provides request queues, thread pools, and lifecycle-aware cancellation so network work integrates cleanly with activities and fragments. Out of the box it supports JSON, string, and image requests, plus an extensible Request/Response model for custom payloads. Volley emphasizes responsiveness: transparent caching and de-duplication of in-flight requests help reduce latency and bandwidth usage. Error handling, retries with backoff, and request prioritization are first-class, making it easier to handle flaky mobile networks. ...